Examining the Determinants of Mobile Location-based Services' Continuance

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    Abstract

    The continuance of use is an important topic of IS research. However, in the past, many researchers have focused on adoption rather than IS continuance. Studying continuance is of equal importance, because if use does not persist, this may limit the revenues of the provider. This is particularly true for consumer-oriented services, which rely on advertising, or subscription-based revenue models. In this paper, we investigate the determinants of location-based services (LBS) continuance as a relevant case study for the examination of IS continuance generally. A research model is developed and empirically tested through a survey of a representative sample in Germany. The proposed model builds on and extends the Limayem et al. model of IS continuance. Our analysis highlights the importance of habit and emotion in LBS continuance. The results indicate that habit has a stronger predictive power than continuance intentions for LBS continuance and that emotions are an important driver for user satisfaction with LBS.
    Original languageEnglish
    Title of host publicationProceedings of the International Conference on Information Systems : ICIS 2011
    EditorsDennis F. Galletta, Ting-Peng Liang
    Number of pages18
    Place of PublicationAtlanta, GA
    PublisherAssociation for Information Systems. AIS Electronic Library (AISeL)
    Publication date2011
    Pages1253-1269
    ChapterPaper 13
    ISBN (Electronic)9780615559070
    Publication statusPublished - 2011
    EventThe 32nd International Conference on Information Systems. ICIS 2011 - Shanghai, China
    Duration: 4 Dec 20117 Dec 2011
    Conference number: 32
    http://icis2011.aisnet.org/

    Conference

    ConferenceThe 32nd International Conference on Information Systems. ICIS 2011
    Number32
    Country/TerritoryChina
    City Shanghai
    Period04/12/201107/12/2011
    Internet address

    Keywords

    • Post-adoption
    • IS continuance
    • Habit
    • Emotions
    • Location-based services

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